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Big Data Engineer - Government Sector - 1
Job summary
A recruitment agency is seeking an experienced Big Data Engineer for a government client in Abu Dhabi. The role involves designing and implementing large-scale data solutions to support AI/ML initiatives. Ideal candidates should have 10-12 years of hands-on experience and expertise in Python, SQL/NoSQL, and cloud data platforms such as Azure. The position contributes to public sector digital transformation.
Qualifications
- 10-12 years of hands-on big data experience.
- Expertise in Python and SQL/NoSQL databases.
- Experience with Airflow for workflow orchestration.
Responsibilities
- Build robust data pipelines using Python, SQL/NoSQL, and Airflow.
- Develop ETL/ELT processes for structured/unstructured data.
- Design efficient data models for analytics.
Skills
Apt Resources is seeking an experienced Big Data Engineer for a government client in Abu Dhabi. You will design and implement large-scale data solutions to support AI/ML initiatives and public sector digital transformation.
Data Pipeline Development:
- Build robust data pipelines using Python SQL/NoSQL and Airflow
- Develop ETL/ELT processes for structured/unstructured data
- Manage data lakes and optimize storage solutions
Data Infrastructure:
- Design efficient data models for analytics
- Implement data governance and quality frameworks
- Work with cloud-based data platforms (Azure preferred)
AI/ML Support:
- Prepare and process datasets for machine learning applications
- Collaborate with ML teams on feature engineering
- 10-12 years of hands‑on big data experience
- Expertise in:
- Python and SQL/NoSQL databases
- Airflow for workflow orchestration
- ETL/ELT pipeline development
- Cloud data platforms (Azure AWS or GCP)
To be discussed
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.